Despite the wide range of studies on how students’ past knowledge influences their understanding of scientific terminology, few studies were conducted to compare non-scientific language with scientific language, or rather everyday language with scientific language, from a cognitive linguistic perspective. The present paper aims to determine the cognitive mechanisms, i.e., image schemas, conceptual metaphor, and conceptual metonymy, which underpin the conceptualisation of the Arabic term سرعة (speed), using a conceptual metaphor theory framework. Thus, the research question guiding (...) this study is: What cognitive mechanisms underlie the concept of سرعة (speed) in Arabic? The findings of this study will shed light on how Arab speakers conceptualise this term, demonstrating their background knowledge of the term compared to its scientific meaning. The article adds to the growing body of cognitive linguistics research on the conceptual processes behind physics terms. The data was collected from the Arabic Web Corpus (arTenTen) using the Sketch Engine. The findings demonstrated that VERTICATLITY and SCALE schemas are the most dominant image schemas that anchor the conceptual meaning in Arab speakers’ perceptions of the term under investigation and the discourse in which it is employed, as well as offer the concrete basis for conceptual metaphors. The conceptual metaphor CHANGE IS MOTION (LOCATION) was also shown to be active in motivating the conception of SPEED in Arabic. (shrink)

Kline's functional categories for the evolution of teaching blur some valuable distinctions. Moreover, her account provides no answer to the question of why direct active teaching seems to be a uniquely human phenomenon.

Despite the ubiquity of knowledge attribution in human social cognition, its associated neural and cognitive mechanisms are poorly documented. A wealth of converging evidence in cognitive neuroscience has identified independent perspective-taking and inhibitory processes for belief attribution, but the extent to which these processes are shared by knowledge attribution isn't presently understood. Here, we present the findings of an EEG study designed to directly address this shortcoming. These findings suggest that belief attribution is not a component process (...) in knowledge attribution, contra a standard attitude taken by philosophers. Instead, observed differences in P3b amplitude indicate that knowledge attribution doesn't recruit the strong self-perspective inhibition characteristic of belief attribution. However, both belief and knowledge attribution were observed to display a late slow wave widely associated with mental state attribution, indicating that knowledge attribution also shares in more general processing of others' mental states. These results provide a new perspective both on how we think about knowledge attribution, as well as Theory of Mind processes generally. (shrink)

Current neuroimaging techniques with high spatial resolution constrain participant motion so that many natural tasks cannot be carried out. The aim of this paper is to show how a time-locked correlation-analysis of cerebral blood flow velocity (CBFV) lateralization data, obtained with functional TransCranial Doppler (fTCD) ultrasound, can be used to infer cerebral activation patterns across tasks. In a first experiment we demonstrate that the proposed analysis method results in data that are comparable with the standard Lateralization Index (LI) for within-task (...) comparisons of CBFV patterns, recorded during cued word generation (CWG) at two difficulty levels. In the main experiment we demonstrate that the proposed analysis method shows correlated blood-flow patterns for two different cognitive tasks that are known to draw on common brain areas, CWG, and Music Synthesis. We show that CBFV patterns for Music and CWG are correlated only for participants with prior musical training. CBFV patterns for tasks that draw on distinct brain areas, the Tower of London and CWG, are not correlated. The proposed methodology extends conventional fTCD analysis by including temporal information in the analysis of cerebral blood-flow patterns to provide a robust, non-invasive method to infer whether common brain areas are used in different cognitive tasks. It complements conventional high resolution imaging techniques. (shrink)

People use social categories to perceive and interact with the social world. Different categorizations often share similar cognitive, affective and behavioral features. This leads to a hypothesis of the common representational forms of social categorization. Studies in social categorization often use the terms “ingroup” and “outgroup” without clear conceptualization of the terms. I argue that the ingroup/outgroup distinction should be treated as an elementary relational ego-centric form of social categorization based on specific cognitive mechanisms. Such an abstract (...) relational form should produce specific effects irrespective of the nature of a particular social category. The article discusses theoretical grounds for this hypothesis as well as empirical evidence from behavioral and brain research. It is argued that what is commonly termed as “ingroup” and “outgroup” can be produced by distinct cognitive operations based on similarity assessment and coalitional computation. (shrink)

The capacity to generate recursive sequences is a marker of rich, algorithmic cognition, and perhaps unique to humans. Yet, the precise processes driving recursive sequence generation remain mysterious. We investigated three potential cognitive mechanisms underlying recursive pattern processing: hierarchical reasoning, ordinal reasoning, and associative chaining. We developed a Bayesian mixture model to quantify the extent to which these three cognitive mechanisms contribute to adult humans’ performance in a sequence generation task. We further tested whether recursive rule (...) discovery depends upon relational information, either perceptual or semantic. We found that the presence of relational information facilitates hierarchical reasoning and drives the generation of recursive sequences across novel depths of center embedding. In the absence of relational information, the use of ordinal reasoning predominates. Our results suggest that hierarchical reasoning is an important cognitive mechanism underlying recursive pattern processing and can be deployed across embedding depths and relational domains. (shrink)

The new field of experimental philosophy has emerged as the methods of psychological science have been brought to bear on traditional philosophical issues. Oxford Studies in Experimental Philosophy will be the place to go to see outstanding new work in the field. It will feature papers by philosophers, papers by psychologists, and papers co-authored by people in both disciplines. The series heralds the emergence of a truly interdisciplinary field in which people from different disciplines are working together to address a (...) shared set of questions. The inaugural volume is roughly structured into four sections. The first three papers focus on recent developments in moral psychology, a topic that has seen lively debate and a great deal of progress over the last decade. The second section highlights three contributions that bring new methods to moral psychology: formal modeling and special populations. The third section brings together four papers that adopt an experimental philosophy approach to novel topics, including intuitive dualism, generics, joint action, and happiness. And the last two papers provide critical and historical context to the development of experimental philosophy. (shrink)

Cognitive mechanisms are based in organisms’biology, and results from biological studies suggest that there is unlikely to be a single mechanism for reorienting or for combining information across modules or domains. Rather, there are likely to be multiple, partly overlapping systems for accomplishing nearly all cognitive and behavioral goals, as is the case for biological mechanisms more generally.

Whereas a large body of research has focused on the development of children as learners, relatively little research has focused on the development of children as teachers. Moreover, even less research has focused on the potential cognitive mechanisms associated with high-quality teaching. Here, we review evidence that children’s selective teaching is associated with at least three cognitive skills: the ability to represent mental states, the ability to infer mental states in real-time, as well as executive function skills. (...) We note potential cultural differences in children’s teaching and highlight the need for future research. (shrink)

This book seeks to explain long-term economic development and institutional change in terms of the cognitive features of human learning and communication processes. Martens links individual cognitive processes to macroeconomic growth theories, including economies of scale and scope, and to theories of institutional development based on asymmetric information in production processes and economies of scale in enforcement technology. With considerable flair, Bertin Martens has applied the hot new area of psychological and behavioural economics to notions of growth and (...) development and has created a unique and impressive volume. (shrink)

The aim of the paper is to analyze the formation and the main traits of new communica­tive spaces in the form of “epistemic echo-bubbles” and “echo-cameras”. Their emer­gence is associated with a transdisciplinary type of scientific revolution. Among the re­sults of this revolution is the Internet and various social networks. Their popularity among different strata of the population makes these networks are not just mass phenom­ena, but effective tools for communication and influence on the views spread in society and shared (...) by many individuals. The mechanisms of “epistemic echo-bubbles” and “echo-chambers” are explored and described. The fundamental differences in their func­tioning are emphasized, namely, that “epistemic echo-bubbles” are formed due to the similarity of people’s views (in the broad sense of life, including political life), and the emotions accompanying these views, so that subjects with different views and emo­tions are simply “not heard” within the boundaries of the echo-bubbles. Echo-chambers are understood to be actually closed communicative spaces formed by bringing together people with similar views (in the broad sense of life, including political life) and emo­tions accompanying these views. Subjects with different views are deliberately not al­lowed into these spaces, their views are discredited and “exposed” by special methods and techniques. Echo chambers are built on the rigid principle of distinguishing “friend” from “foe”, exercising rigid epistemic control over the state of minds and forming special structures of countering and exposing the authoritative opinions of opposition representa­tives. Examples of “echo-bubbles” and “echo-chambers” from modern political life (mainly in the USA) are given. The genesis of “echo-bubbles” and “echo-chambers” is associated with the phenomenon of post-truth and the transformation of language, which began to occur around the middle of the 19th century and which consists of an increase in the specific age of emotive components and a tendency to shift interest from collective action to individual activity. (shrink)

In Crawford, C. & Krebs, D. (eds.) Foundations of evolutionary psychology: Ideas, issues, applications and findings. (2nd Ed.) Mahwah, NJ: Erlbaum Associates.

Intelligent mental representations of physical, cognitive and social environments allow humans to navigate enormous search spaces, whose sizes vastly exceed the number of neurons in the human brain. This allows us to solve a wide range of problems, such as the Traveling Salesperson Problem, insight problems, as well as mathematics and physics problems. As an area of research, problem solving has steadily grown over time. Researchers in Artificial Intelligence have been formulating theories of problem solving for the last 70 (...) years. Psychologists, on the other hand, have focused their efforts on documenting the observed behavior of subjects solving problems. This book represents the first effort to merge the behavioral results of human subjects with formal models of the causative cognitive mechanisms. The first coursebook to deal exclusively with the topic, it provides a main text for elective courses and a supplementary text for courses such as cognitive psychology and neuroscience. (shrink)

Sentence repetition tasks have been extensively employed to assess bilingual children’s linguistic and cognitive resources. The present study examined whether monoliterate bilingual children differ from their monolingual peers in SR accuracy and cognitive tasks, and investigated links between vocabulary, updating, verbal and visuospatial working memory and SR performance in the same children. Participants were two groups of 35 children, 8–12 years of age: one group consisted of Albanian-Greek monoliterate bilingual children and the other of Greek monolingual children attending (...) a monolingual-Greek educational setting. The findings demonstrate that the two groups performed similarly in the grammaticality scores of the SR. However, monolinguals outperformed the monoliterate bilinguals in SR accuracy, as well as in the visuospatial working memory and updating tasks. The findings did not indicate any bilingual advantage in cognitive performance. The results also demonstrate that updating and visuospatial working memory significantly predicted monolingual children’s SR accuracy scores, whereas Greek vocabulary predicted the performance of our monoliterate bilingual children in the same task. We attribute this outcome to the fact that monoliterate bilingual children do not rely on their fluid cognitive resources to perform the task, but instead rely on language proficiency while performing the SR. (shrink)

We support Enlightenment Bayesianism's commitment to grounding Bayesian analysis in empirical details of psychological and neural mechanisms. Recent philosophical accounts of mechanistic science illuminate some of the challenges this approach faces. In particular, mechanistic decomposition of mechanisms into their component parts and operations gives rise to a notion of levels distinct from and more challenging to accommodate than Marr's.

The paper assumes a theoretical-empirical interface exists between top-down (structural concepts) and bottom-up (cognitive mechanisms and socio-cultural interactions) approaches to collective memory. Both deal with collaborative group accounts, material culture such as artefacts and representational re-descriptive technologies. Anthropology has shown how communal life was based on story telling, rituals, artefacts, routine practices constitutive of daily life representational re-descriptions and the reproduction of implicit and explicit emotional normative belief systems embedded in kinship and social network relations.

Osiurak and Reynaud offer a unified cognitive approach to cumulative technological culture, arguing that it begins with non-social cognitive skills that allow humans to learn and develop new technical information. Drawing on research focusing on how children acquire knowledge through interactions others, we argue that social learning is essential for humans to acquire technical information.

A central goal in Cognitive Science is understanding the mechanisms that underlie cognition. Here, we contend that Cognitive Science, despite intense multidisciplinary efforts, has furnished surprisingly few mechanistic insights. We attribute this slow mechanistic progress to the fact that cognitive scientists insist on performing underdetermined exercises, deriving overparametrized mechanistic theories of complex behaviors and seeking validation of these theories to the elusive notions of optimality and biological plausibility. We propose that mechanistic progress in Cognitive Science (...) will accelerate once cognitive scientists start focusing on simpler explananda that will enable them to chart an atlas of elementary cognitive operations. Looking forward, the next challenge for Cognitive Science will be to understand how these elementary cognitive processes are pieced together to explain complex behavior. (shrink)

We advance an account that grounds cognition, specifically decision-making, in an activity all organisms as autonomous systems must perform to keep themselves viable—controlling their production mechanisms. Production mechanisms, as we characterize them, perform activities such as procuring resources from their environment, putting these resources to use to construct and repair the organism's body and moving through the environment. Given the variable nature of the environment and the continual degradation of the organism, these production mechanisms must be regulated (...) by control mechanisms that select when a production is required and how it should be carried out. To operate on production mechanisms, control mechanisms need to procure information through measurement processes and evaluate possible actions. They are making decisions. In all organisms, these decisions are made by multiple different control mechanisms that are organized not hierarchically but heterarchically. In many cases, they employ internal models of features of the environment with which the organism must deal. Cognition, in the form of decision-making, is thus fundamental to living systems which must control their production mechanisms. (shrink)

The present study aims to elucidate whether insight problem solving could be facilitated by the cognitive component of humour. The authors take interest in whether the logical mechanisms of humour can affect how fast insight problems are solved. To that end, the authors conducted two experiments where participants solved insight problems after watching visual humorous stimuli such as videos and slideshows. The first experiment demonstrated the overall impact of facilitation by humour on insight problem solving; however, it did (...) not show any difference in how particular logical mechanisms of humour affect the solution time of insight problems. The second experiment showed that the cognitive component of humour could selectively affect insight problems whose difficulty stems from different sources. These results suggest that the cognitive component of humour, when operationalised as logical mechanisms and schema switching, contributes to solving insight problems. (shrink)

Entrepreneurs sometimes make unethical decisions that have devastating effects on their companies, stakeholders, and themselves. We suggest that insights into the origins of such actions can be acquired through attention to personal motives and their impact on moral disengagement—a cognitive process that deactivates moral self-regulation, thus enabling individuals to behave in ways inconsistent with their own values. We hypothesize that entrepreneurs’ motivation for financial gains is positively related to moral disengagement, while their motivation for self-realization is negatively related to (...) this process. Results obtained with a sample of founding entrepreneurs offered support for the first prediction, as well as support for the prediction that moral disengagement is positively related to the tendency to make unethical decisions. (shrink)

This book develops a new approach to naturalizing phenomenology. The author proposes to integrate phenomenology with the mechanistic framework that offers new methodological perspectives for studying complex mental phenomena such as consciousness. While mechanistic explanatory models are widely applied in cognitive science, their approach to describing subjective phenomena is limited. The author argues that phenomenology can fill this gap. He proposes two novel ways of integrating phenomenology and mechanism. First, he presents a new reading of phenomenological analyses as functional (...) analyses. Such functional phenomenology delivers a functional sketch of a target system and provides constraints on the space of possible mechanisms. Second, he develops the neurophenomenological approach in the direction of dynamic modeling of experience. He shows that neurophenomenology can deliver dynamical constraints on mechanistic models and thus inform the search for an underlying mechanism. (shrink)

To function well in an unpredictable environment using unreliable components, a system must have a high degree of robustness. Robustness is fundamental to biological systems and is an objective in the design of engineered systems such as airplane engines and buildings. Cognitive systems, like biological and engineered systems, exist within variable environments. This raises the question, how do cognitive systems achieve similarly high degrees of robustness? The aim of this study was to identify a set of mechanisms (...) that enhance robustness in cognitive systems. We identify three mechanisms that enhance robustness in biological and engineered systems: system control, redundancy, and adaptability. After surveying the psychological literature for evidence of these mechanisms, we provide simulations illustrating how each contributes to robust cognition in a different psychological domain: psychomotor vigilance, semantic memory, and strategy selection. These simulations highlight features of a mathematical approach for quantifying robustness, and they provide concrete examples of mechanisms for robust cognition. (shrink)

Let me first state that I like Antti Revonsuo’s discussion of the various methodological and interpretational problems in neuroscience. It shows how careful and methodologically reflected scientists have to proceed in this fascinating field of research. I have nothing to add here. Furthermore, I am very sympathetic towards Revonsuo’s general proposal to call for a Philosophy of Neuroscience that stresses foundational issues, but also focuses on methodological and explanatory strategies.2 In a footnote of his paper, Revonsuo complains – as many (...) others do today – about what is sometimes called “physics imperialism”. This is the view that physics dominates the philosophy of science. I am not sure if this is still the case nowadays, but it is certainly historically correct that almost all work in the field of methodology centered around cases from physics. Although this has been changing, there are still plenty of special sciences philosophers did not worry about much. Admittedly, I am myself a trained physicist and not a neuroscientist and will therefore probably be biased negatively. As it is, I will discuss some examples from physics in order to illustrate my points. (shrink)

Gualtiero Piccinini presents a systematic and rigorous philosophical defence of the computational theory of cognition. His view posits that cognition involves neural computation within multilevel neurocognitive mechanisms, and includes novel ideas about ontology, functions, neural representation, neural computation, and consciousness.

A variety of scientific disciplines have set as their task explaining mental activities, recognizing that in some way these activities depend upon our brain. But, until recently, the opportunities to conduct experiments directly on our brains were limited. As a result, research efforts were split between disciplines such as cognitive psychology, linguistics, and artificial intelligence that investigated behavior, while disciplines such as neuroanatomy, neurophysiology, and genetics experimented on the brains of non-human animals. In recent decades these disciplines integrated, and (...) with the advent of techniques for imaging activity in human brains, the term cognitive neuroscience has been applied to the integrated investigations of mind and brain. This book is a philosophical examination of how these disciplines continue in the mission of explaining our mental capacities. (shrink)

This chapter subsumes David Marr’s levels of analysis account of explanation in cognitive science under the framework of mechanistic explanation: Answering the questions that define each one of Marr’s three levels is tantamount to describing the component parts and operations of mechanisms, as well as their organization, behavior, and environmental context. By explicating these questions and showing how they are answered in several different cognitive science research programs, this chapter resolves some of the ambiguities that remain in (...) Marr’s account, and shows that many different areas and traditions of cognitive scientific research can be unified under the mechanistic framework. (shrink)

Online vaccine-critical sentiments are often expressed in appealing personal narratives, whereas vaccine-supporting information is often presented in a non-narrative, expository mode describing scientific facts. In two experiments, we empirically test whether and how these different formats impact the way in which readers process and retrieve information about childhood vaccination, and how this may impact their perceptions regarding vaccination. We assess two psychological mechanisms that are hypothesized to underlie the persuasive nature of vaccination narratives: the availability heuristic and cognitive (...) resistance. The results of experiment 1 showed no empirical evidence for the availability heuristic, but exploratory analyses did indicate that an anti-vaccination narrative might reduce cognitive resistance, decrease vaccination attitudes and reduce attitude certainty in a generally pro-vaccination sample, especially for those who were more vaccine hesitant. Preregistered experiment 2 formally tested this and showed that not narrative format, but prior vaccine hesitancy predicts cognitive resistance and post-reading attitudes. Hesitant participants showed less resistance toward an anti-vaccine text than vaccine-supporting participants, as well as less positive post-reading attitudes and attitude certainty. These findings demonstrate belief consistency effects rather than narrative persuasion, which has implications for scientific research as well as public health policy. (shrink)

Describing a cognitive system at a mechanistic level requires an engineering task analysis. This involves identifying the task and developing models of possible solutions. Evolutionary psychology and Bayesian modeling make complimentary contributions: Evolutionary psychology suggests the types of tasks that human brains were designed to solve, while Bayesian modeling provides a rigorous description of possible computational solutions to such problems.

Quantum mechanics is currently being tried to be used as a probe to unravel the mysteries of consciousness. Present paper deals with this probe, quantum mechanics and its usefulness in getting an insight of working of human consciousness. The formation of quantum mechanics based on certain axioms, its development to study the dynamical behavior and motions of fundamental particles and quantum energy particles moving with the velocity of light, its insistence on wave functions, its probability approach, its dependence on uncertainty (...) principles will all be critically discussed. The result of this discussion will be presented. Its limitations in unraveling the form, function and biological nature of consciousness will be presented. The alternative probe available and being used – the translation of Upanishadic insight and Advaita philosophy into cognitive science elements in delineating the definition, form and function of Consciousness will be given. The usefulness of this modeling and analysis in understanding the consciousness, mind and its functions in cognitive science and theory of human language acquisition and communication will also be presented. The physic-chemical nature of ideas, senses, thoughts, feelings, utterances will be grossly dealt with. The functions of consciousness and mind, in knowledge and language acquisition and communication will be dealt with. (shrink)

1. The Naturalistic Turn in Philosophy of Science 2. The Framework of Mechanistic Explanation: Parts, Operations, and Organization 3. Representing and Reasoning About Mechanisms 4. Mental Mechanisms: Mechanisms that Process Information 5. Discovering Mental Mechanisms 6 . Summary.

In this paper, an account of theoretical integration in cognitive (neuro)science from the mechanistic perspective is defended. It is argued that mechanistic patterns of integration can be better understood in terms of constraints on representations of mechanisms, not just on the space of possible mechanisms, as previous accounts of integration had it. This way, integration can be analyzed in more detail with the help of constraintsatisfaction account of coherence between scientific representations. In particular, the account has resources (...) to talk of idealizations and research heuristics employed by researchers to combine separate results and theoretical frameworks. The account is subsequently applied to an example of successful integration in the research on hippocampus and memory, and to a failure of integration in the research on mirror neurons as purportedly explanatory of sexual orientation. (shrink)